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Table 2

Descriptive statistics of sample farmers and variables

VariableMeanStandard deviationMinimumMaximum
Gender (dummy; 0 = Female, 1 = Male) 0.50 0.50 
Education (dummy) 0.53 0.03 
Age (years) 45.32 10.26 25 72 
Farming experience (years) 8.64 6.39 40 
Cultivated farm size (ha) 2.90 0.33 0.40 65 
Irrigated portion of farm (ha) 2.88 2.40 0.5 15 
Labour (nos of persons) 6.61 0.28 30 
Input expenditure (rands) 9,953.39 12,526.92 96,200 
Revenue (rands) 27,034.04 2,359.69 280,000 
Climate change awareness (dummy) 0.93 0.017 
Insurance (dummy; 0 = No, 1 = Yes) 0.23 0.03 
Access to credit (dummy) 0.26 0.16 
Farm organisation membership (dummy) 0.41 0.49 
Rainfall (mm) 684.64 64.51 635.41 803.99 
Minimum air temperature (°C) 11.89 0.14 15.01 
Maximum air temperature (°C) 24.62 1.25 22.48 25.89 
VariableMeanStandard deviationMinimumMaximum
Gender (dummy; 0 = Female, 1 = Male) 0.50 0.50 
Education (dummy) 0.53 0.03 
Age (years) 45.32 10.26 25 72 
Farming experience (years) 8.64 6.39 40 
Cultivated farm size (ha) 2.90 0.33 0.40 65 
Irrigated portion of farm (ha) 2.88 2.40 0.5 15 
Labour (nos of persons) 6.61 0.28 30 
Input expenditure (rands) 9,953.39 12,526.92 96,200 
Revenue (rands) 27,034.04 2,359.69 280,000 
Climate change awareness (dummy) 0.93 0.017 
Insurance (dummy; 0 = No, 1 = Yes) 0.23 0.03 
Access to credit (dummy) 0.26 0.16 
Farm organisation membership (dummy) 0.41 0.49 
Rainfall (mm) 684.64 64.51 635.41 803.99 
Minimum air temperature (°C) 11.89 0.14 15.01 
Maximum air temperature (°C) 24.62 1.25 22.48 25.89 

Source:South Africa Weather Services (2015).

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